sayurio/jugantor.com-scrape-bangla

Jugantor News Archive (Bangla)

Overview

This repository contains a comprehensive text dataset scraped from jugantor.com, one of the leading Bengali daily newspapers in Bangladesh. The primary goal of this archive is to preserve a massive collection of purely human-written journalism, editorials, and news reports, creating a distinct record of human-authored text separate from AI-generated content.

Purpose and Usage

This dataset is published publicly and strictly for educational, research, linguistic analysis, and archival purposes. It serves as a vital resource for Natural Language Processing (NLP) researchers, data scientists, and linguists working on:

• Pre-training or fine-tuning Bengali Large Language Models (LLMs).
• Topic modeling and text classification.
• Studying linguistic trends, grammar, and vocabulary in modern Bengali journalism.

Dataset Details

• Source: jugantor.com
• Collection Method: Web scraping
• Content Type: Text (Bengali news articles, columns, and editorials written by humans without the use of AI).
• Repository: sayurio/jugantor.com-scrape-bangla

Copyright and Fair Use Disclaimer

This archive is created under the principles of Fair Use (under Section 107 of the Copyright Act) for purposes such as criticism, comment, news reporting, teaching, scholarship, and research.

• No Ownership Claimed: The creator of this repository does not claim any ownership, authorship, or copyright over the original content. All rights, title, and interest in the original text, headlines, and articles remain entirely with the respective authors, journalists, and Jugantor.
• Non-Commercial: This dataset is provided completely free of charge and is strictly not intended for commercial gain, monetization, or profit.
• Transformative Use: The data has been aggregated, extracted from its original web formatting, and compiled specifically for computational analysis, archiving, and educational study. This represents a transformative use of the original publicly available material.

Takedown Requests: If you are a copyright holder of any material included in this dataset and wish for it to be removed from this archive, please open an issue or contact the repository owner directly. Please submit a removal request specifying the exact article URLs, headlines, or text snippets you wish to have taken down so they can be accurately located within the dataset and removed.

How to Use

You can load this dataset directly into your Python environment using the Hugging Face datasets library.

(Note: Ensure you specify the correct data file name if it differs from the default train split)

from datasets import load_dataset

# Load the dataset
dataset = load_dataset("sayurio/jugantor.com-scrape-bangla")

# View the structure of the first article
print(dataset['train'][0])

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